Model comparison
Claude 4.1 Opus Thinking vs Mistral Large 3
Head-to-head evidence from 9 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); Mistral Large 3 #113 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and Mistral Large 3 share 9 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 4.1 Opus Thinking; 7 to Mistral Large 3.
Updated July 20, 2026- Shared results
- 9
- Claude 4.1 Opus Thinking only
- 0
- Mistral Large 3 only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and Mistral Large 3 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Claude 4.1 Opus Thinking has the larger context window at 200K, compared with 128K for Mistral Large 3.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | Mistral Large 3 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | Mistral Large 3$0.5 input / $1.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | Mistral Large 348 tok/s | Mistral Large 3 has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | Mistral Large 31.04 s | Mistral Large 3 reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | Mistral Large 3128K | Claude 4.1 Opus Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Mistral Large 3 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 15.9% | Claude 4.1 Opus Thinking leads |
| AA-GPQA DiamondSource | 80.9% | 68.0% | Claude 4.1 Opus Thinking leads |
| AA-HLESource | 11.9% | 4.1% | Claude 4.1 Opus Thinking leads |
| AA-Omniscience IndexSource | — | -39.4% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 83.7% | Not comparable |
Multimodal1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Mistral Large 3 | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 67.9% | 55.7% | Claude 4.1 Opus Thinking leads |
Inst. Following1 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Mistral Large 3 | Result |
|---|---|---|---|
| AA-IFBenchSource | 55.4% | 36.2% | Claude 4.1 Opus Thinking leads |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and Mistral Large 3 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude 4.1 Opus Thinking and Mistral Large 3 today?
Claude 4.1 Opus Thinking: Pricing unavailable Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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